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Performance-based dynamic scheduling model for flexible manufacturing systems

机译:基于性能的柔性制造系统动态调度模型

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摘要

A performance-based dynamic scheduling model for random flexible manufacturing systems (FMSs) is presented. The model is built on the mathematical background of supervisory control theory of discrete event systems. The dynamic FMS scheduling is based on the optimization of desired performance measures. A control theory-based system representation is coupled with a goal program-ming-based multi-criteria dynamic scheduling algorithm. An effectiveness function, representing a performance index, is formulated to enumerate the possible outputs of future schedules. Short-term job scheduling and dispatching decisions are made based on the values obtained by optimizing the effectiveness function. Preventive actions are taken to reduce the difference between actual and desired target values. To analyse the real-time performance of the proposed model, a software environment that included various Visual Basic Application~® modules, simulation package Arena~®, and Microsoft Access~® database was developed. The experimentation was conducted (a) to determine the optimum look-ahead horizons for the proposed model and (b) to compare the model with conventional scheduling decision rules. The results showed that the proposed model outperformed well-known priority rules for most of the common performance measures.
机译:提出了一种基于性能的随机柔性制造系统(FMS)动态调度模型。该模型基于离散事件系统的监督控制理论的数学背景。动态FMS调度基于所需性能指标的优化。基于控制理论的系统表示与基于目标编程的多准则动态调度算法相结合。制定了表示绩效指标的有效性函数,以枚举未来时间表的可能输出。基于通过优化有效性函数获得的值来做出短期作业调度和调度决策。采取预防措施以减小实际目标值与期望目标值之间的差异。为了分析所提出模型的实时性能,开发了一个软件环境,其中包括各种Visual BasicApplication®模块,仿真包Arena®和MicrosoftAccess®数据库。进行了实验(a)确定所提出模型的最佳超前视界,以及(b)将模型与常规调度决策规则进行比较。结果表明,对于大多数常见绩效指标而言,该模型的性能优于众所周知的优先级规则。

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